A genetic-based approach to simulation of self-organizing assembly

@Article{Brezocnik:2001:RCIM,
author = "Miran Brezocnik and Joze Balic",
title = "A genetic-based approach to simulation of
self-organizing assembly",
journal = "Robotics and Computer-Integrated Manufacturing",
volume = "17",
pages = "113--120",
year = "2001",
number = "1-2",
month = feb,
keywords = "genetic algorithms, genetic programming, Intelligent
manufacturing systems, Self-organizing assembly,
Evolution",
ISSN = "0736-5845",
DOI = "doi:10.1016/S0736-5845(00)00044-2",
URL = "http://www.sciencedirect.com/science/article/B6V4P-42DP1Y1-J/1/175033beb3ddb787b75c22253e5534c2",
abstract = "The paper proposes a new and innovative biologically
oriented idea in conceiving intelligent systems in
modern factories of the future. The intelligent system
is treated as an autonomous organization structure
efficiently adapting itself to the dynamic changes in
the production environment and the environment in a
wider sense. Simulation of self-organizing assembly of
mechanical parts (basic components) into the product is
presented as an example of the intelligent system. The
genetic programming method is used. The genetic-based
assembly takes place on the basis of the genetic
content in the basic components and the influence of
the environment. The evolution of solutions happens in
a distributed way, nondeterministically, bottom-up, and
in a self-organizing manner. The paper is also a
contribution to the international research and
development program intelligent manufacturing systems,
which is one of the biggest projects ever introduced.",
notes = "Robotics and Computer-Integrated Manufacturing
http://www.elsevier.com/wps/find/journaldescription.cws_home/704/description#description",
}